SIDRA INTERSECTION 11
SIDRA INTERSECTION 11
ENVIRONMENTAL
Emissions fromDrive Cycles, Not Speed

Fuel consumption and emissions derived from lane-level acceleration, deceleration, cruise and idle — not aggregate speed-based approximation.

Stop-StartsActually Modelled

Accelerations from stop-start events are a major driver of fuel and emissions — SIDRA models them explicitly for every intersection type.

Optimise forEnvironmental Outcomes

Target fuel consumption, CO₂, CO, HC, or NOₓ in signal timing optimisation — alongside standard delay and capacity objectives.

Request a TrialExplore capabilities ↓
01 / 03

Evaluate the environmental impact of every design option as you go — fuel, emissions and cost are calculated from the same model that produces your delay, capacity and travel time results.

Fully integrated analysis
Fuel consumption, pollutant emissions and operating cost estimation are integrated directly into every capacity and performance analysis. The environmental outputs come from the same four-mode elemental drive cycle model that calculates delay, stop rate and travel time.
Automatic response to design changes
Change the geometry, signal timing or demand, and the fuel, emissions and cost outputs respond automatically — making them internally consistent with every other performance metric.
Four decades of refinement
The power-based vehicle energy and emission models have been continuously refined over four decades, including calibration against a modern vehicle fleet using the NISE 2 empirical database.

Understand exactly where fuel and emissions come from — SIDRA constructs per-lane drive cycles from acceleration, deceleration, cruise and idle, separately for queued and unqueued vehicles.

Four drive cycle modes
For each lane of traffic, SIDRA constructs vehicle drive cycles from four modes: cruise, acceleration, deceleration and idling. These paths are built separately for queued and unqueued vehicles, using the intersection geometry, traffic control type and demand conditions.
Control-type sensitivity
The drive cycles are very different for signalised intersections, roundabouts and sign-controlled intersections, for different phasing and timing, and for different congestion levels.
Stop-start modelling
Accelerations from stop-start events are a major driver of fuel consumption and emissions. For roundabouts and sign-controlled intersections, a unique gap-acceptance model by signal analogy provides the basis for stop-start modelling — enabling environmental estimation for intersection types where other tools typically offer no emission output at all.

Build a complete environmental picture for any intersection analysis, with all metrics reported at lane, movement, approach, Site, Network and Route level.

Fuel consumption
Total fuel consumption and fuel consumption per vehicle, calculated from the four-mode elemental drive cycle for each lane of traffic.
Pollutant emissions
CO₂, CO, HC, NOₓ emissions from instantaneous emission models calibrated to real-world vehicle fleet data.
Operating cost
Vehicle resource cost plus time cost, with pedestrian cost at signalised intersections and annual values using annualisation factors.
Every output level
All metrics are reported at lane, movement, approach, Site, Network and Route level, for each Movement Class separately.

Understand exactly how your vehicle fleet composition affects environmental performance — not through PCE conversion, but through distinct modelling of each vehicle class.

Per-class environmental profiles
Fuel and emissions are calculated separately for Light Vehicles, Heavy Vehicles, Buses, Large Trucks, and User-Defined Classes. Each carries its own vehicle parameters — mass, maximum power, idle fuel rate, emission coefficients.
Different acceleration models
Acceleration models differ for light and heavy vehicles, capturing the very different environmental profiles of a passenger car, a city bus and a heavy freight vehicle.
Not PCE conversion
This is not a passenger car equivalent conversion. Each Movement Class is modelled with distinct vehicle characteristics throughout the analysis.

Move beyond reporting to active environmental optimisation — find the signal timing, speed management or design option that minimises environmental cost.

Environmental signal optimisation
Signal timing optimisation can target fuel consumption, CO₂, CO, HC, NOₓ or operating cost as the performance measure — in addition to standard delay and capacity objectives.
Speed management analysis
Cruise Speed sensitivity analysis supports speed management and environmental impact assessments, showing how speed changes affect fuel and emissions.
Design Life projections
Design Life analysis recalculates the full drive cycle at each growth step, reflecting changing stop-start patterns as congestion rises over time.

Compare corridor-level environmental outcomes across design alternatives, with fuel, emissions and cost reported per Site, per Route, and per Origin–Destination pair.

Network environmental reporting
In Network analysis, environmental metrics are reported per Site and across the entire Network, providing a complete picture of corridor-level environmental performance.
Route-level reporting
Route-level reporting adds total cost, fuel and emissions for user-defined Routes through the network.
SIDRA ASSIGN Trip Performance
With SIDRA ASSIGN (Version 11), Trip Performance metrics extend environmental reporting to assignment results — cost and fuel reported per Origin–Destination pair across assigned Routes.
Integrated Modelling

Integrated, not bolted onnot a post-processing add-on

Change the geometry, signal timing or demand, and the fuel, emissions and cost outputs respond automatically — no separate post-processing step, no risk of inconsistency.

Evaluate the environmental impact of every design option as you go — fuel, emissions and cost are calculated from the same model that produces your delay, capacity and travel time results.

Fully integrated analysis
Fuel consumption, pollutant emissions and operating cost estimation are integrated directly into every capacity and performance analysis. The environmental outputs come from the same four-mode elemental drive cycle model that calculates delay, stop rate and travel time.
Automatic response to design changes
Change the geometry, signal timing or demand, and the fuel, emissions and cost outputs respond automatically — making them internally consistent with every other performance metric.
Four decades of refinement
The power-based vehicle energy and emission models have been continuously refined over four decades, including calibration against a modern vehicle fleet using the NISE 2 empirical database.
Drive Cycle Model

The four-mode elemental modelper-lane drive cycles, not aggregate approximation

Get environmental outputs for every intersection type — including roundabouts and sign-controlled intersections where the HCM offers no emission estimation at all.

Understand exactly where fuel and emissions come from — SIDRA constructs per-lane drive cycles from acceleration, deceleration, cruise and idle, separately for queued and unqueued vehicles.

Four drive cycle modes
For each lane of traffic, SIDRA constructs vehicle drive cycles from four modes: cruise, acceleration, deceleration and idling. These paths are built separately for queued and unqueued vehicles, using the intersection geometry, traffic control type and demand conditions.
Control-type sensitivity
The drive cycles are very different for signalised intersections, roundabouts and sign-controlled intersections, for different phasing and timing, and for different congestion levels.
Stop-start modelling
Accelerations from stop-start events are a major driver of fuel consumption and emissions. For roundabouts and sign-controlled intersections, a unique gap-acceptance model by signal analogy provides the basis for stop-start modelling — enabling environmental estimation for intersection types where other tools typically offer no emission output at all.
Output Metrics

What the model reportscomprehensive environmental metrics at every level

Report fuel, emissions and cost at every level — from individual lanes through to network-wide totals — broken down by Movement Class so you can see exactly where the impact falls.

Build a complete environmental picture for any intersection analysis, with all metrics reported at lane, movement, approach, Site, Network and Route level.

Fuel consumption
Total fuel consumption and fuel consumption per vehicle, calculated from the four-mode elemental drive cycle for each lane of traffic.
Pollutant emissions
CO₂, CO, HC, NOₓ emissions from instantaneous emission models calibrated to real-world vehicle fleet data.
Operating cost
Vehicle resource cost plus time cost, with pedestrian cost at signalised intersections and annual values using annualisation factors.
Every output level
All metrics are reported at lane, movement, approach, Site, Network and Route level, for each Movement Class separately.
Movement Classes

Analysis by Movement Classnot passenger car equivalents

See the true environmental difference between a passenger car, a city bus and a heavy freight vehicle — each Movement Class carries its own mass, power, fuel and emission parameters throughout the analysis.

Understand exactly how your vehicle fleet composition affects environmental performance — not through PCE conversion, but through distinct modelling of each vehicle class.

Per-class environmental profiles
Fuel and emissions are calculated separately for Light Vehicles, Heavy Vehicles, Buses, Large Trucks, and User-Defined Classes. Each carries its own vehicle parameters — mass, maximum power, idle fuel rate, emission coefficients.
Different acceleration models
Acceleration models differ for light and heavy vehicles, capturing the very different environmental profiles of a passenger car, a city bus and a heavy freight vehicle.
Not PCE conversion
This is not a passenger car equivalent conversion. Each Movement Class is modelled with distinct vehicle characteristics throughout the analysis.
Optimisation

Optimise for environmental objectivessignal timing targeting fuel, emissions or cost

Don't just report environmental impact — optimise for it. Target fuel, CO₂ or operating cost directly in signal timing optimisation, alongside standard delay and capacity objectives.

Move beyond reporting to active environmental optimisation — find the signal timing, speed management or design option that minimises environmental cost.

Environmental signal optimisation
Signal timing optimisation can target fuel consumption, CO₂, CO, HC, NOₓ or operating cost as the performance measure — in addition to standard delay and capacity objectives.
Speed management analysis
Cruise Speed sensitivity analysis supports speed management and environmental impact assessments, showing how speed changes affect fuel and emissions.
Design Life projections
Design Life analysis recalculates the full drive cycle at each growth step, reflecting changing stop-start patterns as congestion rises over time.
Network & Route

Network and Route environmental reportingfrom individual lanes to network-wide routes

Track environmental performance from individual lanes to network-wide Routes and Origin–Destination pairs — the environmental outputs travel with the traffic model at every scale.

Compare corridor-level environmental outcomes across design alternatives, with fuel, emissions and cost reported per Site, per Route, and per Origin–Destination pair.

Network environmental reporting
In Network analysis, environmental metrics are reported per Site and across the entire Network, providing a complete picture of corridor-level environmental performance.
Route-level reporting
Route-level reporting adds total cost, fuel and emissions for user-defined Routes through the network.
SIDRA ASSIGN Trip Performance
With SIDRA ASSIGN (Version 11), Trip Performance metrics extend environmental reporting to assignment results — cost and fuel reported per Origin–Destination pair across assigned Routes.
SIDRA ASSIGN

Environmental reporting across assigned routes

SIDRA ASSIGN extends environmental analysis to traffic assignment results. Trip Performance metrics report fuel consumption and operating cost per Origin–Destination pair across assigned Routes.

Network Modelling →Signal Timing →Contact Sales →